Deconstructing the effect of self-directed study on episodic memory

Self-directed learning is often associated with better long-term memory retention; however, the mechanisms that underlie this advantage remain poorly understood. This series of experiments was designed to “deconstruct” the notion of self-directed learning, in order to better identify the factors most responsible for these improvements to memory. In particular, we isolated the memory advantage that comes from controlling the content of study episodes from the advantage that comes from controlling the timing of those episodes. Across four experiments, self-directed learning significantly enhanced recognition memory, relative to passive observation. However, the advantage for self-directed learning was found to be present even under extremely minimal conditions of volitional control (simply pressing a button when a participant was ready to advance to the next item). Our results suggest that improvements to memory following self-directed encoding may be related to the ability to coordinate stimulus presentation with the learner’s current preparatory or attentional state, and they highlight the need to consider the range of cognitive control processes involved in and influenced by self-directed study.

[1]  R. K. Simpson Nature Neuroscience , 2022 .

[2]  Nate Kornell,et al.  The dynamics of learning and allocation of study time to a region of proximal learning. , 2003, Journal of experimental psychology. General.

[3]  F. N. Dempster,et al.  The spacing effect: A case study in the failure to apply the results of psychological research. , 1988 .

[4]  D. Markant,et al.  Is it better to select or to receive? Learning via active and passive hypothesis testing. , 2014, Journal of experimental psychology. General.

[5]  J. Metcalfe,et al.  CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE Metacognitive Judgments and Control of Study , 2022 .

[6]  Christian F. Doeller,et al.  Evidence for grid cells in a human memory network , 2010, Nature.

[7]  E. Düzel,et al.  Medial temporal theta state before an event predicts episodic encoding success in humans , 2009, Proceedings of the National Academy of Sciences.

[8]  Leila Alem,et al.  A Study of Gestures in a Video-Mediated Collaborative Assembly Task , 2011, Adv. Hum. Comput. Interact..

[9]  T. O. Nelson,et al.  Why investigate metacognition , 1994 .

[10]  Nate Kornell,et al.  Study efficacy and the region of proximal learning framework. , 2006, Journal of experimental psychology. Learning, memory, and cognition.

[11]  Trudy W. Banta,et al.  Promise and perils , 1988 .

[12]  M. Goodale,et al.  Active manual control of object views facilitates visual recognition , 1999, Current Biology.

[13]  Joel L. Voss,et al.  Cortical regions recruited for complex active-learning strategies and action planning exhibit rapid reactivation during memory retrieval , 2011, Neuropsychologia.

[14]  Todd M Gureckis,et al.  Self-Directed Learning , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[15]  P. Piolino,et al.  The influence of action on episodic memory: A virtual reality study , 2013, Quarterly journal of experimental psychology.

[16]  Matthias J. Gruber,et al.  Voluntary Control over Prestimulus Activity Related to Encoding , 2010, The Journal of Neuroscience.

[17]  Lisa K. Son,et al.  Metacognitive and control strategies in study-time allocation. , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[18]  Nigel Foreman,et al.  Exploratory activity and response to a spatial change in rats with hippocampal or posterior parietal cortical lesions , 1992, Behavioural Brain Research.

[19]  M. Botvinick Hierarchical models of behavior and prefrontal function , 2008, Trends in Cognitive Sciences.

[20]  M. Carrasco Visual attention: The past 25 years , 2011, Vision Research.

[21]  Neal J. Cohen,et al.  Hippocampal brain-network coordination during volitional exploratory behavior enhances learning , 2010, Nature Neuroscience.

[22]  J. Metcalfe,et al.  Evidence that judgments of learning are causally related to study choice , 2008, Psychonomic bulletin & review.

[23]  Thom Herrmann,et al.  Spatial problem solving by rats: Exploration and cognitive maps , 1982 .

[24]  Elizabeth R. Chrastil,et al.  Active and passive contributions to spatial learning , 2011, Psychonomic Bulletin & Review.

[25]  Kara D. Federmeier,et al.  Spontaneous revisitation during visual exploration as a link among strategic behavior, learning, and the hippocampus , 2011, Proceedings of the National Academy of Sciences.

[26]  M. Chun,et al.  Interactions between attention and memory , 2007, Current Opinion in Neurobiology.

[27]  M. Rugg,et al.  Brain activity before an event predicts later recollection , 2006, Nature Neuroscience.

[28]  Robert A. Bjork,et al.  The promise and perils of self-regulated study , 2007, Psychonomic bulletin & review.

[29]  Frank Meijer,et al.  Active exploration improves perceptual sensitivity for virtual 3D objects in visual recognition tasks , 2011, Vision Research.

[30]  J. Metcalfe,et al.  Metacognition : knowing about knowing , 1994 .

[31]  M. J. Renner Neglected aspects of exploratory and investigatory behavior , 1990, Psychobiology.

[32]  James Ward,et al.  The role of active exploration of 3D face stimuli on recognition memory of facial information. , 2007, Journal of experimental psychology. Human perception and performance.

[33]  R. Bjork,et al.  Self-regulated learning: beliefs, techniques, and illusions. , 2013, Annual review of psychology.

[34]  Neil Burgess,et al.  Distinct error-correcting and incidental learning of location relative to landmarks and boundaries , 2008, Proceedings of the National Academy of Sciences.

[35]  M. Posner,et al.  Orienting of Attention* , 1980, The Quarterly journal of experimental psychology.

[36]  Janet Metcalfe,et al.  Is study time allocated selectively to a region of proximal learning? , 2002, Journal of experimental psychology. General.

[37]  Willem B. Verwey,et al.  The Contribution of Dynamic Exploration to Virtual Anatomical Learning , 2011, Adv. Hum. Comput. Interact..

[38]  R. Bjork,et al.  Metacognition in motor learning. , 2001, Journal of experimental psychology. Learning, memory, and cognition.

[39]  J. Martinovic,et al.  An Advantage for Active versus Passive Aperture-Viewing in Visual Object Recognition , 2011, Perception.

[40]  R. Passingham The hippocampus as a cognitive map J. O'Keefe & L. Nadel, Oxford University Press, Oxford (1978). 570 pp., £25.00 , 1979, Neuroscience.

[41]  Todd W. Thompson,et al.  When the brain is prepared to learn: Enhancing human learning using real-time fMRI , 2011, NeuroImage.